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In Data We Trust? Comparison of Electronic Versus Manual Abstraction of Antimicrobial Prescribing Quality Metrics for Hospitalized Veterans With Pneumonia

Bibliographic Data

ID9105120
AuthorsBarbara Jones (0000-0003-2717-6076, Pulmonary and Critical Care Associates, corresponding author), Barbara E Jones (0000-0001-9985-3860, Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS 2.0) Center of Innovation, VA SLC Health System), Candace Haroldsen (Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS 2.0) Center of Innovation, VA SLC Health System, corresponding author), Karl Madaras-Kelly (Boise VA Medical Center and Idaho State University College of Pharmacy, Pocatello, ID), Karl Madaras‐Kelly (Idaho State University), Matthew Bidwell Goetz (0000-0003-4542-992X, VA Greater Los Angeles Healthcare System), Jian Ying (0000-0003-3609-1568, University of Utah), Brian C Sauer (0000-0002-3546-3051, University of Utah, corresponding author), Brian Sauer (Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS 2.0) Center of Innovation, VA SLC Health System), Makoto Jones (0000-0001-5580-6739, University of Utah, corresponding author), Makoto M Jones (Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS 2.0) Center of Innovation, VA SLC Health System), Molly Leecaster (Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS 2.0) Center of Innovation, VA SLC Health System, corresponding author), Tom Greene (0000-0002-3706-7570, Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS 2.0) Center of Innovation, VA SLC Health System, corresponding author), Scott K Fridkin (0000-0003-4892-693X, Emory University School of Medicine, Department of Medicine, Atlanta, GA), Melinda M Neuhauser (0000-0002-6062-2413, Department of Veterans Affairs, VA Center for Medication Safety (MedSAFE), Pharmacy Benefits Management Services, Hines, IL), Matthew H Samore (0000-0002-4862-9196, Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS 2.0) Center of Innovation, VA SLC Health System, corresponding author)
Year2018
Volume56
Issue7
Pages626-633
Publication date2018-07-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000916
PMID29668648
OpenAlexW2801011459
LanguageEN
References cited22

BACKGROUND: Electronic health records provide the opportunity to assess system-wide quality measures. Veterans Affairs Pharmacy Benefits Management Center for Medication Safety uses medication use evaluation (MUE) through manual review of the electronic health records. OBJECTIVE: To compare an electronic MUE approach versus human/manual review for extraction of antibiotic use (choice and duration) and severity metrics. RESEARCH DESIGN: Retrospective. SUBJECTS: Hospitalizations for uncomplicated pneumonia occurring during 2013 at 30 Veterans Affairs facilities. MEASURES: We compared summary statistics, individual hospitalization-level agreement, facility-level consistency, and patterns of variation between electronic and manual MUE for initial severity, antibiotic choice, daily clinical stability, and antibiotic duration. RESULTS: Among 2004 hospitalizations, electronic and manual abstraction methods showed high individual hospitalization-level agreement for initial severity measures (agreement=86%-98%, κ=0.5-0.82), antibiotic choice (agreement=89%-100%, κ=0.70-0.94), and facility-level consistency for empiric antibiotic choice (anti-MRSA r=0.97, P<0.001; antipseudomonal r=0.95, P<0.001) and therapy duration (r=0.77, P<0.001) but lower facility-level consistency for days to clinical stability (r=0.52, P=0.006) or excessive duration of therapy (r=0.55, P=0.005). Both methods identified widespread facility-level variation in antibiotic choice, but we found additional variation in manual estimation of excessive antibiotic duration and initial illness severity. CONCLUSIONS: Electronic and manual MUE agreed well for illness severity, antibiotic choice, and duration of therapy in pneumonia at both the individual and facility levels. Manual MUE showed additional reviewer-level variation in estimation of initial illness severity and excessive antibiotic use. Electronic MUE allows for reliable, scalable tracking of national patterns of antimicrobial use, enabling the examination of system-wide interventions to improve quality

Antibiotics · Community-acquired pneumonia · Family medicine · Health care · Health records · Pneumonia · Veterans Affairs · Antibiotic Use and Resistance · Antibiotics Pharmacokinetics and Efficacy · Emergency Medicine · Internal Medicine · Medicine · Pharmacovigilance and Adverse Drug Reactions · Pharmacy

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